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adaptive-communication

Use when detecting ambiguous user intent, hedging language, open-ended framing, personal context before requests, or when unsure whether user wants exploration vs direct answer. Applies to all conversations.

64

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is an exemplary lean, actionable instruction skill: terse signal tables, ready-to-use phrasings, and a clear detect-then-adapt workflow with edge-case checkpoints and no unnecessary references.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence, presenting tight tables and terse guidance with no padding or explanation of basic concepts, matching the score-3 lean-and-efficient anchor.

3 / 3

Actionability

It provides copy-paste-ready phrasings (e.g., "Would you like me to [explore / recommend / break down options]?" and the Quick Reference decision rules), giving fully executable guidance for an instruction-only skill.

3 / 3

Workflow Clarity

Decision flows are clearly sequenced: detect signal class (high/low/ambiguous), apply the matching adaptation, and the "Don't ask if obvious" rule plus Edge Cases act as validation checkpoints, satisfying the simple-skill note for a 3.

3 / 3

Progressive Disclosure

At ~90 lines with no external references, the single-file structure is well-organized into clearly labeled sections (Detection Signals, Response Adaptations, Edge Cases, Quick Reference), meeting the under-50-line-equivalent note that well-organized sections earn a 3.

3 / 3

Total

12

/

12

Passed

Description

50%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description has a strong explicit "Use when" trigger answering both what and when, but it describes detection signals rather than concrete actions and the broad "applies to all conversations" scope weakens distinctiveness.

Suggestions

Replace the list of detection cues with one or two concrete adaptive actions the skill performs (e.g., 'Clarify intent, then tailor response directness to detected context').

Sharpen trigger term quality with phrases users actually say (e.g., 'when the user asks open-ended questions or signals uncertainty').

Narrow the "Applies to all conversations" clause to reduce conflict risk with other conversational skills.

DimensionReasoningScore

Specificity

It names a clear domain (ambiguous intent, hedging, open-ended framing) but lists no concrete adaptive actions, instead describing detection cues; it falls short of the score-3 "multiple specific concrete actions" anchor.

2 / 3

Completeness

It states what the skill does (adapt to ambiguous intent) and explicitly when to use it via a "Use when..." clause with concrete triggers plus "Applies to all conversations," matching the score-3 anchor.

3 / 3

Trigger Term Quality

Phrases like "hedging language," "open-ended framing," and "exploration vs direct answer" are reasonable trigger terms, but these are meta-linguistic rather than terms users naturally say, so coverage is partial versus the score-3 example.

2 / 3

Distinctiveness Conflict Risk

The "Applies to all conversations" clause makes it broadly applicable and risks overlap with general conversation-handling skills, so it is not the score-3 clear distinct niche; it sits at score 2 with some specificity but potential overlap.

2 / 3

Total

9

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
bencium/bencium-marketplace
Reviewed

Table of Contents

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